The story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and supports content about how technology and science are changing the way we live. A robot shaped like a human—white with a black head and torso—has been popping up on video feeds. Perhaps you’ve seen it dance or…
Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are making it possible to automate more complex tasks across industrial environments. But unlike AI that operates purely in the digital world, industrial AI can interact directly with physical systems,…
How nine AR automation platforms compare on collections automation and cash application, and which one keeps its AI inside auditable controls Allianz Research puts average global DSO at around 59 days, while roughly $10 trillion sits in unpaid invoices…
The best requirements management tools for functional safety all protect one thing: the chain of evidence behind a safety case. It runs from a hazard, through the safety requirement that mitigates it, into the design that implements it, and out to the …
Most companies hand sensitive data to dozens of outside vendors, from payroll providers to cloud hosts. When one of those vendors gets breached, the company that hired it still answers for the damage. Third party risk management software gives security…
For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this understanding to reason about situations, make decisions, and ultimately…
In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The frontier has moved from prediction to autonomous decision making, and the gap between…
Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the cost of performance continues to fall. Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from the previous year. For many enterprises, this investment has…
When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes. As AI moves from experimentation to production, model choice is only…
Istanbul Ignited by Slush’D returns to Rixos Tersane in Istanbul on 12 to 14 October for its second edition. The organisers expect more than 3,000 attendees, 1,400 startups and 600 investors, up from about 1,700 attendees last year. The first edition r…